Evidence map›Paper›PMID 37563139›Full record

Observational studyScientific reports2023

Impact of meteorological and demographic factors on the influenza epidemic in Japan: a large observational database study.

Genta Ito, Takahiro Takazono, Naoki Hosogaya, Naoki Iwanaga, Shogo Miyazawa, Satoki Fujita, Hideaki Watanabe, Hiroshi Mukae

Open access · goldAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Genta Ito *Data Science Department, Shionogi & Co., Ltd, Osaka, Japan.
Takahiro Takazono *Department of Respiratory Medicine, Nagasaki University Hospital, Nagasaki, Japan. takahiro-takazono@nagasaki-u.ac.jp.ORCID https://orcid.org/0000-0002-0696-5386
Naoki HosogayaDepartment of Respiratory Medicine, Nagasaki University Hospital, Nagasaki, Japan.
Naoki IwanagaDepartment of Respiratory Medicine, Nagasaki University Hospital, Nagasaki, Japan.
Shogo MiyazawaData Science Department, Shionogi & Co., Ltd, Osaka, Japan.
Satoki FujitaData Science Department, Shionogi & Co., Ltd, Osaka, Japan.
Hideaki WatanabeBiostatistics Center, Shionogi & Co., Ltd, Osaka, Japan.
Hiroshi MukaeDepartment of Respiratory Medicine, Nagasaki University Hospital, Nagasaki, Japan.
Nagasaki University Hospital · JPShionogi (Japan) · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Factors affecting the start date of the influenza epidemic season and total number of infected persons per 1,000,000 population in 47 prefectures of Japan were evaluated. This retrospective observational study (September 2014-August 2019; N = 472,740-883,804) evaluated data from a Japanese health insurance claims database. Single and multiple regression analyses evaluated the time to start of the epidemic or total infected persons per 1,000,000 population with time to absolute humidity (AH) or number of days with AH (≤ 5.5, ≤ 6.0, ≤ 6.5, and ≤ 7.0), total visitors (first epidemic month or per day), and total population. For the 2014/15, 2015/16, and 2016/17 seasons, a weak-to-moderate positive correlation (R

Indexed as

EpidemicsInfluenza, HumanClimateHumansJapanPopulation Density

Identifiers

PMID37563139
PMCPMC10415347
OpenAlexW4385720555

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.